Competitor comparison

Privado AI and Acompli: privacy code visibility or governed privacy evidence

Privado AI positions around AI agents, privacy assessments, data maps and risk discovery across software. Acompli adds a broader privacy governance layer where approved code findings can feed RoPA, DPIA, risk and data-map outputs.

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Privado AIPrivacy code scanningData mapsRisk discovery

Disclosure

A practical comparison published by Acompli

This comparison is published by Acompli and was last reviewed on 28 June 2026. It is intended to help privacy teams compare operating models, not to claim that one platform is right for every buyer.

Best-fit summary for Acompli and Privado AI.
Decision question	Acompli	Privado AI
Best fit	Privacy and engineering teams that want reviewed code findings connected to RoPA drafts, DPIA triggers and data-map records.	Teams that prioritise personal-data visibility across web, app, backend and third-party software.
Operating model	Connected privacy governance records across RoPA, DPIA, DSAR, risk, vendors, data mapping and optional AI Act workflows.	Privado AI uses AI agents, privacy assessments, data maps, risk discovery and personal data visibility language.
When to choose it	Choose Acompli when technical findings must be routed into wider privacy governance records with human approval.	Choose Privado AI when the main requirement is software-level personal data visibility and privacy-code discovery.

Competitor profile

How Privado AI describes its own platform

Official page title reviewed: Privado AI - Modernize privacy compliance with AI agents

Official description reviewed: Privado AI automates privacy assessments, data maps, and risk discovery with AI agents and personal data visibility across web, app, backend, and third-party software.

Their category language

Privado AI uses AI agents, privacy assessments, data maps, risk discovery and personal data visibility language.

Where they may be a strong fit

Teams that prioritise personal-data visibility across web, app, backend and third-party software.

Research focus

Privacy code scanning, data maps, assessments and risk discovery terms.

Buyer signals

Market lane, buyer fit and public review signal

Signal	Details
Market lane	Privacy code scanning, AI privacy agents, website/app privacy auditing and automated data maps.
Best-fit buyer	Engineering and privacy teams that need code-level and system-level personal-data visibility.
Review / pricing signal	G2 source set describes risk discovery, assessments and data maps. Privado publishes a pricing page, but commercial terms should be refreshed before publication.
Deployment / operating model	SaaS privacy-engineering platform plus public open-source scanner references; exact deployment/integration model should be verified per product tier.

Boolean chart

Chart-ready yes/no fields for Privado AI

Y means public sources reviewed for this pack show a meaningful product, module, feature or service. N means the feature was not clearly evidenced in this source set, not proof that the vendor cannot provide it.

Field	Acompli	Privado AI
DPIA/PIA assessments	Y	Y
RoPA / Article 30	Y	Y
DSAR / privacy rights	Y	N
Data mapping	Y	Y
Vendor risk	Y	Y
Privacy risk	Y	Y
AI governance	Y	Y
Consent management	N	N
Cookie/tracker scanning	N	Y
Breach/incident management	N	N
Retention management	Y	N
Policy/notice management	N	N
Training module	N	N
Approval workflows	Y	Y
Audit trail	Y	Y
Role-based access control	Y	Y
Multi-entity support	Y	Y
Spreadsheet import	Y	Y
PDF/CSV/Excel export	Y	Y
Public pricing	N	Y

Decision factors

Four questions to ask when comparing Acompli with Privado AI

How much implementation weight can the team carry?

Acompli is designed for focused privacy operations where the team wants structured records quickly. Larger suites may suit teams with broader administration capacity.

Do approved answers feed the next workflow?

The Acompli model treats assessments, RoPA fields, vendor records, DSAR outcomes and risks as connected records rather than separate documents.

Can you show why the answer was accepted?

Acompli keeps AI output as draft support until a human reviewer approves it, with source evidence, decisions and audit history preserved.

Is Ireland, UK and EU privacy governance the main use case?

Acompli is intentionally privacy-led. Security, GRC, consent or enterprise-suite breadth may point to another platform depending on the buyer's operating model.

Feature-fit matrix

Acompli vs Privado AI: what the comparison should cover

Capability	Acompli emphasis	Privado AI comparison note	Buyer question
Migration and onboarding	Existing DPIAs, RoPA spreadsheets, supplier lists, IT inventories and OneTrust or TrustArc exports can be imported, mapped and enriched instead of re-keyed.	Check import formats, export compatibility, connector coverage, confidence scoring and how quickly records become searchable and reviewable.	Will onboarding reuse current evidence or create a separate migration project?
RoPA continuity	Article 30 records are assessment-fed, confidence-scored, review-governed, entity-scoped and maintained when systems, suppliers or transfers change.	Check whether the selected package keeps the RoPA current from live workflow evidence or relies on separate module upkeep.	Will the register stay current when the business changes?
DPIA and assessments	DPIAs, LIAs, TIAs, processor reviews, AI Act assessments and custom workflows use contextual completion, AI drafting, confidence scoring and approval history.	Check assessment templates, reviewer controls, evidence capture and how outputs connect to downstream records.	Does the assessment become reusable governance evidence?
DSAR evidence	Standalone DSAR workflow from branded intake to identity checks, parallel discovery, human-reviewed redaction, QA gates, response drafting, delivery and archive.	Check whether DSAR handling is a dedicated lifecycle or one feature inside a broader programme workflow.	Can the team export a defensible request history?
Privacy risk	Risks are extracted from whole assessments after readiness checks, deduplicated, consistency-checked, assigned to owners and tracked through treatment plans and dashboards.	Check whether privacy risk is tied to assessments and vendors or managed as a separate risk register.	Can risk decisions be traced back to evidence?
Vendor and processor records	Systems, suppliers, processors, locations, Article 28 evidence and transfer context are recorded once, searchable in natural language and reused across the programme.	Check processor due-diligence depth, sub-processor handling, transfer evidence and RoPA linkage.	Does vendor review improve the privacy record?
Data mapping and transfers	The map is populated from real work, verified with readiness checks, and links cross-border flows to SCCs, adequacy decisions, TIAs, safeguards, stewards and exports.	Check whether maps are evidence-backed records or static diagrams that need manual reconciliation.	Can every route show evidence and every transfer show a mechanism?
Code-derived evidence	Read-only repository scans use approved plans, structural analysis, file and line provenance, human review, and approved sync into data maps, RoPA drafts and DPIA triggers.	Check whether technical discovery can feed privacy records with review gates rather than producing disconnected scan output.	Can code evidence update governance records without bypassing people?
AI governance	Optional AI Act workflow can track AI systems, assessment evidence and GDPR links in the same governance model.	Check whether AI governance is built for privacy evidence, security controls, policy management or a broader trust programme.	Can GDPR and AI governance evidence be reconciled?
Human approval and provenance	AI drafts, extracts and classifies; a named human approves the record before it becomes official.	Check whether automated outputs keep source material, reviewer decisions and change history in the DOM and exports.	Can reviewers defend the final answer?

Acompli angles

The product angles Acompli should be judged on

Acompli's brochures frame the platform as a set of connected operating workflows, not a loose feature list. These are the buyer tests to use in any competitor comparison.

Angle	Acompli proof point	Comparison question
Rapid onboarding	Imports existing DPIAs, RoPA spreadsheets, IT systems, vendors and locations; supports PDF, DOCX, Excel, CSV, OneTrust and TrustArc export formats; AI maps columns and extracts Q&A pairs.	Can the platform use the evidence the team already has, or does implementation become a manual migration project?
Assessment workflow	DPIAs, LIAs, TIAs, processor reviews, AI Act assessments and custom workflows use contextual completion, AI-assisted drafting, confidence scoring, review tasks and approval history.	Does an assessment become a reviewed decision record, or does it remain a form/document?
RoPA governance	Article 30 fields are captured through tagged assessment questions, extracted with confidence scores, reviewed before publication, entity-scoped and maintained through change propagation.	Does the RoPA stay current from approved work, or does the team reconcile it later?
Third-party register	Systems, suppliers and locations are recorded once, reused across assessments, risk and RoPA, searchable in natural language and preserved in an entity timeline.	Are vendors just rows in a table, or reusable records linked to evidence and history?
Data mapping	Maps are populated from systems, suppliers, locations and assessment work, with graph and geographic views, readiness checks, transfer mechanisms, TIAs, stewards and exports.	Can every route show evidence, a transfer mechanism and a named steward?
Risk management	Risk extraction starts with readiness checks, analyses the whole assessment, catches duplicates and severity inconsistencies, then tracks treatment plans, ROI and live dashboards.	Are risks traceable to source evidence and treatment work, or just manually entered scores?
DSAR lifecycle	Structured portal intake, identity verification, parallel discovery, AI PII detection with human redaction review, QA gates, response drafting, delivery and archive with 20+ audit action types.	Can the team prove how the request was handled from intake to delivery?
Code-to-compliance evidence	Read-only GitHub/GitLab scans use approved plans, structural source analysis, file/line provenance, human review, and sync approved findings into data maps, RoPA drafts and DPIA triggers.	Can technical evidence from code feed privacy records without bypassing review?

Switching test

When Privado AI may still be the better fit

The right answer depends on operating model. Privado AI may be the better fit when its broader platform direction, existing implementation, integrations or specialist strengths match the buyer's priorities.

Acompli is strongest when the privacy team needs connected evidence across core GDPR and AI governance records, with a short route from draft to reviewed decision.

Shortlist Acompli when the pain is stale RoPA fields, isolated DPIAs, disconnected DSAR files, supplier evidence drift or risk registers that do not trace back to source evidence.
Shortlist Privado AI when the main requirement is better served by its published platform strengths, existing contracts or wider operating model.
Ask every vendor to show the same workflow end to end: a new processing activity, its assessment, RoPA update, supplier evidence, privacy risk and exportable audit trail.

Sources

Sources and corrections

Competitor positioning changes. This page avoids private roadmap claims and uses public product information plus Acompli's own product pages and brochures.